Computational intelligence in computer aided process planning - a review

This paper first provides a general introduction to Computer Aided Process Planning (CAPP). In second section, a brief review of Computational Intelligence (CI) applications in machining process planning and related methods and problems will be presented. The overall applications can be classified as knowledge representation, features extraction, part classification for group technology, machining volume decomposition, tool path generation, machining condition optimization, operation sequencing, machine, setup and tool selection, modeling the EDM process, and others. It presents current state and perspectives on computational intelligence in CAPP.

[1]  Ferruh Öztürk,et al.  Neural network based non-standard feature recognition to integrate CAD and CAM , 2001, Comput. Ind..

[2]  Qiang Yang,et al.  Optimal Process Sequencing in CAPP Systems. , 1988 .

[3]  R. Stryczek.  Raster graphics in features recognition. , 2005 .

[4]  Türkay Dereli,et al.  Optimisation of process planning functions by genetic algorithms , 1999 .

[5]  Dimitris Kiritsis,et al.  A review of knowledge-based expert systems for process planning. Methods and problems , 1995 .

[6]  K. Hashmi,et al.  Fuzzy logic based intelligent selection of machining parameters , 1998 .

[7]  Gareth J. Palmer,et al.  A simulated annealing approach to integrated production scheduling , 1996, J. Intell. Manuf..

[8]  Srinidhi Mallur.  Integration of process planning and scheduling functions , 1992 .

[9]  Essam Shehab,et al.  An Intelligent Knowledge-Based System for Product Cost Modelling , 2002 .

[10]  A. White,et al.  Application of Neural Networks in Feature Recognition of Mould Reinforced Plastic Parts , 1999 .

[11]  Gerald M. Knapp,et al.  Acquiring, storing and utilizing process planning knowledge using neural networks , 1992, J. Intell. Manuf..

[12]  Samuel H. Huang,et al.  Automatic set-up planning for metal cutting: an integrated methodology , 2003 .

[13]  Alluru Gopala Krishna,et al.  Optimisation of operations sequence in CAPP using an ant colony algorithm , 2006 .

[14]  Hyunbo Cho,et al.  Adaptive and dynamic process planning using neural networks , 2001 .

[15]  Jože Balič,et al.  Intelligent tool path generation for milling of free surfaces using neural networks , 2002 .

[16]  Hong-Chao Zhang,et al.  Computer Aided Process Planning: the state-of-the-art survey , 1989 .

[17]  S. Chi,et al.  Generalized part family formation using neural network techniques , 1992 .

[18]  S. H. Huang,et al.  A fuzzy approach to process plan selection , 1994 .

[19]  J. Ko,et al.  Dynamic planning model for determining cutting parameters using neural networks in feature-based process planning , .

[20]  Ping-Teng Chang,et al.  An integrated artificial intelligent computer-aided process planning system , 2000, Int. J. Comput. Integr. Manuf..

[21]  Xin Guo Ming,et al.  Intelligent setup planning in manufacturing by neural networks based approach , 2000, J. Intell. Manuf..

[22]  Sergio Cavalieri,et al.  Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry , 2004 .

[23]  Sam Kolli,et al.  Classification of Research and Applications in Feature Modeling and Computer Aided Process Planning , 2004 .

[24]  Behrokh Khoshnevis,et al.  Integration of process planning and scheduling functions , 1991, J. Intell. Manuf..

[25]  Tarunraj Singh,et al.  Machining condition optimization by genetic algorithms and simulated annealing , 1997, Comput. Oper. Res..

[26]  W. D. Li,et al.  A simulated annealing-based optimization approach for integrated process planning and scheduling , 2007, Int. J. Comput. Integr. Manuf..

[27]  D. Canca,et al.  Manufacturing cell formation using a new self-organizing neural network , 2002 .

[28]  Horris C. Leung,et al.  Annotated bibliography on computer-aided process planning , 1996 .

[29]  Sankha Deb,et al.  A neural network based methodology for machining operations selection in Computer-Aided Process Planning for rotationally symmetrical parts , 2006, J. Intell. Manuf..

[30]  Constantin Chassapis,et al.  An IT view on perspectives of computer aided process planning research , 1997 .

[31]  Andrew Y. C. Nee,et al.  Application of genetic algorithm to computer-aided process planning in distributed manufacturing environments , 2005 .

[32]  Franci Cus,et al.  Optimization of cutting process by GA approach , 2003 .

[33]  Zhang Wei Bo,et al.  Optimization of process route by Genetic Algorithms , 2006 .

[34]  T. Narendran,et al.  A genetic algorithm approach to the machine-component grouping problem with multiple objectives , 1992 .

[35]  M Tolouei-Rad,et al.  On the optimization of machining parameters for milling operations , 1997 .

[36]  Yi Wang,et al.  A hybrid intelligent method for modelling the EDM process , 2003 .

[37]  Y. H. Chen,et al.  A neural network system feature recognition for two-dimensional , 1998, Int. J. Comput. Integr. Manuf..

[38]  Manoj Kumar Tiwari,et al.  An interactive approach to solve the operation sequencing problem using simulated annealing , 2006 .

[39]  K. Ridgway,et al.  Selection of cutting tools and conditions of machining operations using an expert system , 2000 .

[40]  Ming Liang,et al.  Optimization of hole-making operations: a tabu-search approach , 2000 .

[41]  Lihui Wang,et al.  Architecture design for distributed process planning , 2003 .

[42]  Hong Chul Lee,et al.  Integration of Process Planning and Scheduling Using Simulation Based Genetic Algorithms , 2001 .

[43]  Daniel J. Fonseca,et al.  Artificial neural networks for job shop simulation , 2002, Adv. Eng. Informatics.

[44]  Shaw Voon Wong,et al.  Machinability data representation with artificial neural network , 2003 .

[45]  Saleh M. Amaitik,et al.  An intelligent process planning system for prismatic parts using STEP features , 2007 .

[46]  Derek Yip-Hoi,et al.  A genetic algorithm application for sequencing operations in process planning for parallel machining , 1996 .

[47]  Samuel H. Huang,et al.  Neural-expert hybrid approach for intelligent manufacturing: a survey , 1995 .

[48]  Yunfeng Zhang,et al.  Process planning optimization for the manufacture of injection moulds using a genetic algorithm , 2003, Int. J. Comput. Integr. Manuf..